Andrés Max

Your AI agent will build anything you ask for.

Something changed in how I build and I only caught it looking backwards.

The tests pass.

Four tickets went through clean last week.

When founders ask me how I build with AI, they start with the orchestration layer.

Most of the SaaS you pay for is a compromise you agreed to because building your own was too expensive.

Every prioritization framework I’ve ever used was a hedge against an expensive mistake.

For about two years, building with AI felt free.

I sold Ideaware in April.

I caught myself last week telling a founder he was at Level 2 of agentic engineering.

There’s an unspoken rule in product design that nobody writes down but every user enforces: the moment you came for needs to happen fast.

Most mornings I’m running four or five parallel workstreams before lunch.

I was riding the wave like everyone else.

I shipped four products in the past year. tini.bio, lst.so, gratu, nod.so.

I’ve seen six Lovable prototypes this month.

In the last two weeks I’ve had a handful of conversations with founders.

You built it in a weekend.

I spent 18 years estimating how long products take to build.

Every founder I talk to has the same gap in their operation.

For 20 years, building a software product meant the same thing.

Every startup blog will tell you the same thing about idea validation: validate before you build.

I shipped five products recently.

The hardest part of product isn’t deciding what to build.

A 5-person team in 2026 can ship what a 50-person team shipped in 2016.

Thanks for reaching out!

Most AI products fail twice: once when the technology doesn’t work, and again when nobody wants it anyway.

Everything you learned about product management is wrong for AI products.

Your startup doesn’t have an AI problem.

The best product strategy isn’t a list of features to build.

The main reason AI projects fail is simple: companies start with the technology instead of the problem. 42% of companies scrapped their AI initiatives in 2025—not because AI doesn’t work, but because they built solutions to problems that didn’t exist.

The fastest way to build a lean MVP is to build the smallest experiment that tests your riskiest assumption—not a scaled-down version of your vision.

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Your first product hire should complement your weaknesses, not duplicate your strengths.

Dribbble broke UX design by rewarding beautiful screenshots over functional user experiences.

Trusth those who have walked the path, not those who sell you hard on a promise.

When was the last time you were productive for 8 hours a day sitting in front of your computer?

Having “on-time” as your team’s (or project) success metric is a dangerous endeavor.

For over 12 years I’ve worked with SaaS product teams.

The best competitive strategy is to ignore your competitors and obsess over your customers instead.